:/

app.py

@@ -101,7 +101,7 @@ def greet(material_exemplar: Image.Image,
                                        controlnet_conditioning_scale=float(_controlnet_conditioning_scale),
                                        num_samples=num_samples,
                                        num_inference_steps=_num_inference_steps,
-                                       guidance_scale=7.5)
+                                       guidance_scale=_guidance_scale)
             postprocessed_image = images[0].filter(ImageFilter.DETAIL)
             credits = stable_diffusion.get_credit()